Eye-glance input interface for a small screen

Dekun Gao, Naoaki Itakura


Optical measurement devices for eye movements are generally expensive and it is often necessary to restrict user head movements when various eye-gaze input interfaces are used. Previously, we proposed a novel eye-gesture input interface that utilized electrooculography amplified via an AC coupling that does not require a head mounted display [1]. Instead, combinations of eye-gaze displacement direction were used as the selection criteria. When used, this in- terface showed a success rate approximately 97.2%, but it was necessary for the user to declare his or her intention to perform an eye gesture by blinking or pressing an enter key. In this paper, we propose a novel eye-glance input in- terface that can consistently recognize glance behavior without a prior declaration, and provide a decision algorithm that we believe is suitable for eye-glance input interfaces such as small smartphone screens. In experiments using our improved eye-glance input interface, we achieved a detection rate of approximately 93% and a direction determina- tion success rate of approximately 79.3%. A smartphone screen design for use with the eye-glance input interface is also proposed.

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DOI: https://doi.org/10.5430/air.v3n1p12


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Artificial Intelligence Research

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